Data Architect

Data & Integration Architect (Perm)

London (West) & Hybrid

Sector – International Sports Club

Reporting to the Head of Architecture & Planning, the role holder will take responsibility for ensuring the Data Platform meets present and future business and technology needs, and to deliver, review and take ownership of associated design blueprints/artefacts which enable that architecture to be built, operated and supported.

Accountabilities:

• Be responsible for all data architecture and data integration and increase the maturity of how the club handles data
  
  
• Be the SME on what data the club collects across its different platforms, and defining how this data flows from internal and external systems into and out of the Data Platform
  
  
• Provide technical leadership to all levels within the organisation on data architecture and information management
  
  
• Define and communicate the base line and target Data Platform Architecture with supporting artefacts, models, standards and processes which balance the needs of the business and technology and is in line with the architecture principles and guardrails.
  
  
• Define data models to support CRM and Analytics
  
  
• Understand key data and information related issues across both business and technology teams
  
  
• Collaborate with multiple departments and external vendors
  
  
• Share data architecture and information management industry best practise, identify potential opportunities, give insights into emerging technologies and how they could impact, augment or support the strategic vision
  
  
• Champion the value of data architecture governance and design deliverables across the business
  
  Person Specification
  
  The skills and attributes outlined in this description are not exhaustive and we welcome candidates who can bring different relevant experiences to the role.
  
  Essential:
  
  
• Bachelor’s degree in computer science, Computer Engineering, or relevant work experience.
  
  
• Hands on experience with the technologies and methodologies used, such as:
  
  
• SQL
  
  
• PostgreSQL
  
  
• MongoDB
  
  
• APIs and Microservices
  
  
• Python, Pandas, PyTest
  
  
• Kafka Connect / Streaming Technologies
  
  
• CI/CD
  
  
• Kubernetes / DockerKnowledge of one or more of the following Primary Domains
  
  
• BI, Analytics & Reporting
  
  
• Data Lakehouse, Data Marts & Data Virtualization
  
  
• Data Mesh & Data Fabric
  
  
• Data Quality, Reference & Meta Data
  
  
• Enterprise Data Models & Data Governance
  
  
• Machine Learning
  
  
• Effective in leading others and able to work as part of a team – whether it be project based, with business and technical staff, or with external partners and suppliers
  
  
• In-depth knowledge of business intelligence delivery, data management and quality
  
  
• Skills and Personal Attributes:
  
  
• Ability to maintain a sufficiently deep knowledge of business areas and technology to provide architectural leadership and direction
  
  
• Ability to win the trust, confidence and commitment of senior business and IT stakeholders and to lead their thinking alongside the ability to communicate effectively with employees from all parts of the company